Registration of Separations

Separations or images relating to film or other fields may be registered using a variety of features, such as, for example: (1) correcting one or more film distortions; (2) automatically determining a transformation to reduce a film distortion; (3) applying multiple criteria of merit to a set of features to determine a set of features to use in determining a transformation; (4) determining transformations for areas in an image or a separation in a radial order; (5) comparing areas in images or separations by weighting feature pixels differently than non-feature pixels; (6) determining distortion values for transformations by applying a partial distortion measure and/or using a spiral search configuration; (7) determining transformations by using different sets of features to determine corresponding transformation parameters in an iterative manner; and (8) applying a feathering technique to neighboring areas within an image or separation. 1. An apparatus having stored thereon at least the following:a first image based on first content of a first digitized film separation, the first digitized film separation being a first digitized film separation of a picture; anda second image based on second content of a second digitized film separation, the second digitized film separation being a second digitized film separation of the picture, a film distortion corresponding to the first and second images being relatively small in comparison with a film distortion corresponding to the first and second digitized film separations, the second image being configured based on a translation of only a strict subset of the second content.2. The apparatus of wherein the translation of only the strict subset results from application of an alignment vector to only the strict subset.3. The apparatus of wherein the alignment vector is automatically determined and applied to the strict subset.4. The apparatus of wherein the second image comprises digital information.5. The apparatus of ...

Using relevance feedback in face recognition

Images are searched to locate faces that are the same as a query face. Images that include a face that is the same as the query face may be presented to a user as search result images. Images also may be sorted by the faces included in the images and presented to the user as sorted search result images. The user may provide explicit or implicit feedback regarding the search result images. Additional feedback may be inferred regarding the search result images based on the user-provided feedback, and the results may be updated based on the user-provided and inferred feedback.

REGISTRATION OF SEPARATIONS

Separations or images relating to film or other fields may be registered using a variety of features, such as, for example: (1) correcting one or more film distortions; (2) automatically determining a transformation to reduce a film distortion; (3) applying multiple criteria of merit to a set of features to determine a set of features to use in determining a transformation; (4) determining transformations for areas in an image or a separation in a radial order; (5) comparing areas in images or separations by weighting feature pixels differently than non-feature pixels; (6) determining distortion values for transformations by applying a partial distortion measure and/or using a spiral search configuration; (7) determining transformations by using different sets of features to determine corresponding transformation parameters in an iterative manner; and (8) applying a feathering technique to neighboring areas within an image or separation. 1. A method for automatic registration of film separations , the method comprising:accessing component images that are based on digitized film separations, wherein each of the component images includes a set of gray-level pixels;determining automatically an alignment vector for at least a part of a selected component image from among the accessed component images; andcorrecting one or more film distortions by applying the alignment vector to the part of the selected component image.2. The method of wherein the accessed component images are based on digitized color film separations.3. The method of wherein accessing component images comprises digitizing film separations.4. The method of wherein the alignment vector aligns the part of the selected component image with a corresponding part of a second of the accessed component images claim 1 , the method further comprising combining the selected component image and the second of the accessed component images after applying the alignment vector.5. The method of further comprising ...

Detecting facial similarity based on human perception of facial similarity

Similar faces may be determined within images based on human perception of facial similarity. The user may provide an image including a query face to which the user wishes to find faces that are similar. Similar faces may be determined based on similarity information. Similarity information may be generated from information related to a human perception of facial similarity. Images that include faces determined to be similar, based on the similarity information, may be provided to the user as search result images. The user then may provide feedback to indicate the user's perception of similarity between the query face and the search result images.

Correction of blotches in component images

Blotches may be identified and processed to reduce or eliminate the blotch. The blotch may be in just one of several separations and multiple separations may be used, for example, to identify the blotch. An implementation (i) compares a first component image of an image with a first component image of a reference image, (ii) compares a second component image of the image with a second component image of the reference image, and (iii) determines based on these comparisons whether the first component image of the image includes a blotch. Multiple image separations also, or alternatively, may be used, for example, to modify the blotch, as well as to evaluate whether a modification is beneficial.

USING RELEVANCE FEEDBACK IN FACE RECOGNITION

Images are searched to locate faces that are the same as a query face. Images that include a face that is the same as the query face may be presented to a user as search result images. Images also may be sorted by the faces included in the images and presented to the user as sorted search result images. The user may provide explicit or implicit feedback regarding the search result images. Additional feedback may be inferred regarding the search result images based on the user-provided feedback, and the results may be updated based on the user-provided and inferred feedback. 125.-. (canceled)26. A method for recognizing faces within images , the method comprising:determining, by at least one processor, a set of search result images based on at least one query face, the set of search result images including a search result image that includes a representation of a face that is determined to match the query face;providing an indication of the set of search result images to a user;receiving an implicit indication of the accuracy of search result images based on the user's interaction with at least one of the provided search result images;determining, by the at least one processor, that a face in the at least one search result image matches the query face based on at least the implicit indication; andupdating the set of search result images based on the determination that the face in the at least one search result image matches the query face.27. The method of wherein determining a set of search result images comprises:creating a query feature vector for the query face;forming a set of search feature vectors by creating one or more search feature vectors for faces within a set of search faces;determining distances between the query feature vector and the search feature vectors;selecting one or more search feature vectors that are within a selected distance of the query face feature vector, anddesignating images that include faces that correspond to the selected search ...

CORRECTION OF BLOTCHES IN COMPONENT IMAGES

Blotches may be identified and processed to reduce or eliminate the blotch. The blotch may be in just one of several separations and multiple separations may be used, for example, to identify the blotch. An implementation (i) compares a first component image of an image with a first component image of a reference image, (ii) compares a second component image of the image with a second component image of the reference image, and (iii) determines based on these comparisons whether the first component image of the image includes a blotch. Multiple image separations also, or alternatively, may be used, for example, to modify the blotch, as well as to evaluate whether a modification is beneficial. 1accessing one or more component images of a target image, the target image including a first component image and a second component image;accessing one or more component images of a reference image, the reference image including a first component image and a second component image;determining a motion vector characterizing motion between the target image and the reference image;comparing, based on motion indicated by the motion vector, the first component image of the target image with the first component image of the reference image to produce a first-component comparison result;comparing, based on motion indicated by the motion vector, the second component image of the target image with the second component image of the reference image to produce a second-component comparison result; anddetermining that the first component image of the target image includes a blotch based on the first-component comparison result and the second-component comparison result.. A method of processing images containing a blotch, the method comprising: This application is a continuation of U.S. patent application Ser. No. 14/025,952, filed Sep. 13, 2013, now allowed, which is a continuation of U.S. patent application Ser. No. 13/447,674, filed Apr. 16, 2012, now U.S. Pat. No. 8,538,194, issued Sep. ...

Correction of blotches in component images

Blotches may be identified and processed to reduce or eliminate the blotch. The blotch may be in just one of several separations and multiple separations may be used, for example, to identify the blotch. An implementation (i) compares a first component image of an image with a first component image of a reference image, (ii) compares a second component image of the image with a second component image of the reference image, and (iii) determines based on these comparisons whether the first component image of the image includes a blotch. Multiple image separations also, or alternatively, may be used, for example, to modify the blotch, as well as to evaluate whether a modification is beneficial.

REGISTRATION OF SEPARATIONS

Separations or images relating to film or other fields may be registered using a variety of features, such as, for example: (1) correcting one or more film distortions; (2) automatically determining a transformation to reduce a film distortion; (3) applying multiple criteria of merit to a set of features to determine a set of features to use in determining a transformation; (4) determining transformations for areas in an image or a separation in a radial order; (5) comparing areas in images or separations by weighting feature pixels differently than non-feature pixels; (6) determining distortion values for transformations by applying a partial distortion measure and/or using a spiral search configuration; (7) determining transformations by using different sets of features to determine corresponding transformation parameters in an iterative manner; and (8) applying a feathering technique to neighboring areas within an image or separation. 1accessing component images that are based on digitized film separations, wherein each of the component images includes a set of gray-level pixels;determining automatically an alignment vector for at least a part of a selected component image from among the accessed component images; andcorrecting one or more film distortions by applying the alignment vector to the part of the selected component image.. A method for automatic registration of film separations, the method comprising: This application is a continuation of U.S. patent application Ser. No. 13/846,741, filed Mar. 18, 2013, now allowed, which is a continuation of U.S. patent application Ser. No. 13/347,485, filed Jan. 10, 2012, now U.S. Pat. No. 8,401,337, which is a continuation of U.S. patent application Ser. No. 12/712,888, filed Feb. 25, 2010, now U.S. Pat. No. 8,094,972, which is a continuation of U.S. patent application Ser. No. 11/929,191, filed Oct. 30, 2007, now U.S. Pat. No. 7,672,541, which is a divisional of U.S. patent application Ser. No. 11/856,541, filed ...

REGISTRATION OF SEPARATIONS

Separations or images relating to film or other fields may be registered using a variety of features, such as, for example: (1) correcting one or more film distortions; (2) automatically determining a transformation to reduce a film distortion; (3) applying multiple criteria of merit to a set of features to determine a set of features to use in determining a transformation; (4) determining transformations for areas in an image or a separation in a radial order; (5) comparing areas in images or separations by weighting feature pixels differently than non-feature pixels; (6) determining distortion values for transformations by applying a partial distortion measure and/or using a spiral search configuration; (7) determining transformations by using different sets of features to determine corresponding transformation parameters in an iterative manner; and (8) applying a feathering technique to neighboring areas within an image or separation. 1accessing component images that are based on digitized film separations, wherein each of the component images includes a set of gray-level pixels;determining automatically an alignment vector for at least a part of a selected component image from among the accessed component images; andcorrecting one or more film distortions by applying the alignment vector to the part of the selected component image.. A method for automatic registration of film separations, the method comprising: This application is a continuation of U.S. patent application Ser. No. 14/467,762, filed Aug. 25, 2014, which is a continuation of U.S. patent application Ser. No. 13/846,741, filed Mar. 18, 2013, now U.S. Pat. No. 8,818,088, which is a continuation of U.S. patent application Ser. No. 13/347,485, filed Jan. 10, 2012, now U.S. Pat. No. 8,401,337, which is a continuation of U.S. patent application Ser. No. 12/712,888, filed Feb. 25, 2010, now U.S. Pat. No. 8,094,972, which is a continuation of U.S. patent application Ser. No. 11/929,191, filed Oct. 30, 2007 ...

Registration of separations

Separations or images relating to film or other fields may be registered using a variety of features, such as, for example: (1) correcting one or more film distortions; (2) automatically determining a transformation to reduce a film distortion; (3) applying multiple criteria of merit to a set of features to determine a set of features to use in determining a transformation; (4) determining transformations for areas in an image or a separation in a radial order; (5) comparing areas in images or separations by weighting feature pixels differently than non-feature pixels; (6) determining distortion values for transformations by applying a partial distortion measure and/or using a spiral search configuration; (7) determining transformations by using different sets of features to determine corresponding transformation parameters in an iterative manner; and (8) applying a feathering technique to neighboring areas within an image or separation.

Using Relevance Feedback In Face Recognition

Images are searched to locate faces that are the same as a query face. Images that include a face that is the same as the query face may be presented to a user as search result images. Images also may be sorted by the faces included in the images and presented to the user as sorted search result images. The user may provide explicit or implicit feedback regarding the search result images. Additional feedback may be inferred regarding the search result images based on the user-provided feedback, and the results may be updated based on the user-provided and inferred feedback.

Registration of separations

Using relevance feedback in face recognition

Images are searched to locate faces that are the same as a query face. Images that include a face that is the same as the query face may be presented to a user as search result images. Images also may be sorted by the faces included in the images and presented to the user as sorted search result images. The user may provide explicit or implicit feedback regarding the search result images. Additional feedback may be inferred regarding the search result images based on the user-provided feedback, and the results may be updated based on the user-provided and inferred feedback.

Detecting facial similarity based on human perception of facial similarity

Similar faces may be determined within images based on human perception of facial similarity. The user may provide an image including a query face to which the user wishes to find faces that are similar. Similar faces may be determined based on similarity information. Similarity information may be generated from information related to a human perception of facial similarity. Images that include faces determined to be similar, based on the similarity information, may be provided to the user as search result images. The user then may provide feedback to indicate the user's perception of similarity between the query face and the search result images.

Reducing differential resolution of separations

Certain disclosed implementations use digital image processing to reduce the differential resolution among separations or images in film frames, such as, for example, red flare. A location in the red image may be selected using information from another image. The selected location may be modified using information from that other image. The selection may include comparing features of an edge in the first image with features of a corresponding edge in the other image. The modification may include performing wavelet transformations of the two images and copying certain coefficients (or a function of these coefficients) produced by the application of the transformation to the second image to the coefficients produced by the application of the transformation to the first image. The copied coefficients may be correlated with the selected location. Other disclosed techniques vary from the above and may be applied to other fields.

Reduction of differential resolution of separations

Certain disclosed implementations use digital image processing to reduce the differential resolution among separations or images in film frames, such as, for example, red flare. A location in the red image may be selected using information from another image. The selected location may be modified using information from that other image. The selection may include comparing features of an edge in the first image with features of a corresponding edge in the other image. The modification may include performing wavelet transformations of the two images and copying certain coefficients (or a function of these coefficients) produced by the application of the transformation to the second image to the coefficients produced by the application of the transformation to the first image. The copied coefficients may be correlated with the selected location. Other disclosed techniques vary from the above and may be applied to other fields.

Reduction of differential resolution of separations

Reduction of differential resolution of separations

Correction of blotches in component images

Blotches may be identified and processed to reduce or eliminate the blotch. The blotch may be in just one of several separations and multiple separations may be used, for example, to identify the blotch. An implementation (i) compares a first component image of an image with a first component image of a reference image, (ii) compares a second component image of the image with a second component image of the reference image, and (iii) determines based on these comparisons whether the first component image of the image includes a blotch. Multiple image separations also, or alternatively, may be used, for example, to modify the blotch, as well as to evaluate whether a modification is beneficial.

Reduction of differential resolution of separations

Certain disclosed implementations use digital image processing to reduce the differential resolution among separations or images in film frames, such as, for example, red flare. A location in the red image may be selected using information from another image (1420). The selected location may be modified using information from that other image (1440). The selection may include comparing features of an edge in the first image with features of a corresponding edge in the other image. The modification may include performing wavelet transformations (1410) of the two images and copying certain coefficients (or a function of these coefficients) produced by the application of the transformation to the second image to the coefficients produced by the application of the transformation to the first image. The copied coefficients may be correlated with the selected location. Other disclosed techniques vary from the above and may be applied to other fields.

Reduction of differential resolution of separations

Reduction of differential resolution of separations

Reduction of differential resolution of separations

Registration of separations

Separations or images relating to film or other fields may be registered using a variety of features, such as, for example: (1) correcting one or more film distortions; (2) automatically determining a transformation to reduce a film distortion; (3) applying multiple criteria of merit to a set of features to determine a set of features to use in determining a transformation; (4) determining transformations for areas in an image or a separation in a radial order; (5) comparing areas in images or separations by weighting feature pixels differently than non-feature pixels; (6) determining distortion values for transformations by applying a partial distortion measure and/or using a spiral search configuration; (7) determining transformations by using different sets of features to determine corresponding transformation parameters in an iterative manner; and (8) applying a feathering technique to neighboring areas within an image or separation.

Using relevance feedback in face recognition

Images are searched to locate faces that are the same as a query face. Images that include a face that is the same as the query face may be presented to a user as search result images. Images also may be sorted by the faces included in the images and presented to the user as sorted search result images. The user may provide explicit or implicit feedback regarding the search result images. Additional feedback may be inferred regarding the search result images based on the user-provided feedback, and the results may be updated based on the user-provided and inferred feedback.

Systems and methods for building and using social networks in image analysis

Computer-implemented systems and methods for identifying an object in an image are provided. In one example, the method includes identifying a first object related to an electronic image. The image includes at least a second object. Based at least in part on the identity of the first object, social networking information related to the first object is used to programmatically identify the second object. The first object and/or the second object may be a person. In some embodiments, metadata associated with the image may be used to identify the second object. Based at least in part on the identifications, social networking information may be associated between the first object and the second object.

Correction of blotches in component images

Blotches may be identified and processed to reduce or eliminate the blotch. The blotch may be in just one of several separations and multiple separations may be used, for example, to identify the blotch. An implementation (i) compares a first component image of an image with a first component image of a reference image, (ii) compares a second component image of the image with a second component image of the reference image, and (iii) determines based on these comparisons whether the first component image of the image includes a blotch. Multiple image separations also, or alternatively, may be used, for example, to modify the blotch, as well as to evaluate whether a modification is beneficial.